Bank statement validator and fake bank statement detector for structured KYC risk signals, visible IBAN checks, and human review.
Open Statement ValidatorRealistic. Valid. Synthetic IBAN data for testing and QA
Generate fake IBANs and random test IBAN numbers with country-correct structure and MOD-97 checksums. Use them for payment-form QA, staging, API fixtures and synthetic profiles; review bank-statement evidence in the dedicated Bank Statement Validator.
Country-correct synthetic data for payment QA, staging, API fixtures and bank statement review.
Labs & Advanced QA tools
Keep the homepage focused on fast fake and random IBAN generation. Use these specialized workflows when a test case needs deeper document, payee, provider, or bank evidence.
Repeatable payee-verification matrices for MATCH, CLOSE MATCH, NO MATCH, and verification-not-possible cases.
Open VOP / CoP LabRun deterministic country, bank, city, BIC, payment, mandate, and webhook datasets when basic generation is not enough.
Run an advanced jobGenerated dataset
No rows yetMake this target reusable
IBAN Validator
Supports all IBAN formats. Premium plans reveal bank names and BIC metadata when available.
What is checked?
The validator checks country structure, expected length, allowed characters, and the MOD-97 checksum. A passing checksum confirms format only — it does not prove that a real account exists.
Validation results
ReadyPowerful API for your stack
REST APIcurl --request POST \
--url https://ibangen.com/api/v1/generate \
--header "X-API-Key: YOUR_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"country": "Norway",
"quantity": 10,
"targeting": {
"bank": "DNB Bank ASA"
}
}'
import requests
response = requests.post(
"https://ibangen.com/api/v1/generate",
headers={"X-API-Key": "YOUR_API_KEY"},
json={
"country": "Norway",
"quantity": 10,
"targeting": {"bank": "DNB Bank ASA"}
},
)
print(response.json())
const response = await fetch("https://ibangen.com/api/v1/generate", {
method: "POST",
headers: {
"X-API-Key": "YOUR_API_KEY",
"Content-Type": "application/json"
},
body: JSON.stringify({
country: "Norway",
quantity: 10,
targeting: { bank: "DNB Bank ASA" }
})
});
console.log(await response.json());
$payload = [
"country" => "Norway",
"quantity" => 10,
"targeting" => ["bank" => "DNB Bank ASA"]
];
$ch = curl_init("https://ibangen.com/api/v1/generate");
curl_setopt_array($ch, [
CURLOPT_POST => true,
CURLOPT_RETURNTRANSFER => true,
CURLOPT_HTTPHEADER => [
"X-API-Key: YOUR_API_KEY",
"Content-Type: application/json"
],
CURLOPT_POSTFIELDS => json_encode($payload)
]);
echo curl_exec($ch);
Built for real-world testing
Safe for development. Not for production payments.
All IBANs and profiles generated by IBANgen are synthetic test data. They are made for QA, staging and developer environments.
Start free. Scale as you grow.
Pick the right paid step: one 24-hour unlock for a single job, or a monthly tier for recurring bank metadata, profiles, and team datasets.
Random IBAN Generator for fake IBAN test data
IBANgen is a random IBAN generator and fake IBAN generator for developers, QA engineers, fintech teams and payment-form testers. It generates checksum-valid synthetic IBAN numbers for 119 countries, validates IBAN structure, and helps you create realistic banking test data without using real accounts.
Use the generator when you need a random IBAN, fake IBAN, test IBAN number, or bulk QA dataset for staging environments, API automation, checkout forms, onboarding flows, payment validation libraries, and demo applications. Results can be copied, exported as CSV, JSON or XML, and enriched with SWIFT/BIC or bank metadata when your plan allows it.
What is an IBAN generator?
An IBAN generator creates International Bank Account Numbers that follow country-specific structure and checksum rules. IBANgen focuses on synthetic test data: random IBANs that look realistic and pass validation checks, but are not real bank accounts.
Fake IBAN vs random IBAN
People search for fake IBAN, random IBAN, random IBAN generator, fake IBAN generator and iban gen for the same core need: safe banking-like data for testing. That includes phrases such as random IBAN number, randomiban, IBAN random and IBAN fake, plus country searches like random IBAN Germany and random IBAN Turkey. IBANgen keeps those workflows together while clearly marking generated data as synthetic.
How does the random IBAN generator work?
- Select a country such as Germany, France, Italy, United Kingdom, Spain, Turkey, Austria or Norway.
- IBANgen creates a country-specific BBAN using the correct length and structure.
- The MOD-97 algorithm calculates check digits so the generated IBAN passes checksum validation.
- You can copy the result, export it, validate it, or use the API for automation.
Popular fake IBAN and random IBAN country pages
Dedicated country pages target high-intent searches such as random IBAN Germany, fake IBAN France, random IBAN Turkey, UK IBAN generator, Spain fake IBAN, and Austria test IBAN.
Uses of fake IBAN test data
- Payment-form QA and browser automation tests.
- API contract tests for fintech and banking products.
- Bulk random IBAN datasets for staging databases.
- Educational examples for IBAN validation and MOD-97 checksum logic.
- Synthetic user profiles that include banking context without personal financial data.
Random IBAN generator FAQ
Is IBANgen a fake IBAN generator?
Yes. IBANgen generates fake IBAN and random IBAN test data for QA, development, demos and education. Generated IBANs are not real accounts.
Can generated IBANs pass validation?
Yes. The generator creates checksum-valid IBANs that pass format and MOD-97 validation for the selected country.
Can I validate an IBAN online?
Yes. Use the IBAN Validator to check structure, country rules and checksum status.
Can I generate random IBANs with an API?
Yes. The IBAN Generator API supports programmatic generation, validation and dataset exports.
Disclaimer
IBANgen.com is not a bank or financial institution. Generated IBANs, fake IBANs, random IBANs, SWIFT/BIC previews and synthetic profiles are for testing, QA, staging, education and development only. Do not use generated test data for real payments, fraud, or attempts to access real accounts.